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electra-base-increased-bs-lr – AI Model by TheNewPing | AlphaNeural AI
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TheNewPing
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electra-base-increased-bs-lr
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transformers
safetensors
electra
multiple-choice
generated_from_trainer
google/electra-base-discriminator
finetune
apache-2.0
endpoints_compatible
us
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electra-base-increased-bs-lr
This model is a fine-tuned version of
google/electra-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3120
Accuracy: 0.8919
Precision: 0.8962
Recall: 0.8865
F1: 0.8913
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
269
0.3037
0.8748
0.8840
0.8627
0.8732
0.3324
2.0
538
0.2916
0.8896
0.8942
0.8838
0.8890
0.3324
3.0
807
0.3120
0.8919
0.8962
0.8865
0.8913
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
